Harbour Eric, van Rheden Vincent, Schwameder Hermann, Finkenzeller Thomas
Department of Sport and Exercise Science, Paris Lodron University of Salzburg, Salzburg, Austria.
Department of Artificial Intelligence and Human Interfaces, Paris Lodron University of Salzburg, Salzburg, Austria.
Front Sports Act Living. 2023 Mar 1;5:1112663. doi: 10.3389/fspor.2023.1112663. eCollection 2023.
Many runners struggle to find a rhythm during running. This may be because 20-40% of runners experience unexplained, unpleasant breathlessness at exercise onset. Locomotor-respiratory coupling (LRC), a synchronization phenomenon in which the breath is precisely timed with the steps, may provide metabolic or perceptual benefits to address these limitations. It can also be consciously performed. Hence, we developed a custom smartphone application to provide real-time LRC guidance based on individual step rate.
Sixteen novice-intermediate female runners completed two control runs outdoors and indoors at a self-selected speed with auditory step rate feedback. Then, the runs were replicated with individualized breath guidance at specific LRC ratios. Hexoskin smart shirts were worn and analyzed with custom algorithms to estimate continuous LRC frequency and phase coupling.
LRC guidance led to a large significant increase in frequency coupling outdoor from 26.3 ± 10.7 (control) to 69.9 ± 20.0 % (LRC) "attached". There were similarly large differences in phase coupling between paired trials, and LRC adherence was stronger for the indoor treadmill runs versus outdoors. There was large inter-individual variability in running pace, preferred LRC ratio, and instruction adherence metrics.
Our approach demonstrates how personalized, step-adaptive sound guidance can be used to support this breathing strategy in novice runners. Subsequent investigations should evaluate the skill learning of LRC on a longer time basis to effectively clarify its risks and advantages.
许多跑步者在跑步过程中难以找到节奏。这可能是因为20%-40%的跑步者在运动开始时会经历不明原因的、令人不适的呼吸急促。运动-呼吸耦合(LRC)是一种呼吸与步伐精确同步的现象,可能为解决这些限制提供代谢或感知方面的益处。它也可以有意识地进行。因此,我们开发了一款定制的智能手机应用程序,以根据个人步频提供实时LRC指导。
16名初-中级女性跑步者以自选速度在户外和室内完成两次对照跑步,并伴有听觉步频反馈。然后,以特定的LRC比率进行个性化呼吸指导,重复跑步。穿着Hexoskin智能衬衫,并使用定制算法进行分析,以估计连续的LRC频率和相位耦合。
LRC指导使户外频率耦合大幅显著增加,从26.3±10.7(对照)增加到69.9±20.0%(LRC)“附着”。配对试验之间的相位耦合也存在类似的巨大差异,室内跑步机跑步的LRC依从性比户外更强。在跑步速度、偏好的LRC比率和指导依从性指标方面存在较大的个体差异。
我们的方法展示了个性化的、步频自适应的声音指导如何用于支持新手跑步者的这种呼吸策略。后续研究应在更长时间内评估LRC的技能学习,以有效阐明其风险和优势。